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    "<table class=\"ee-notebook-buttons\" align=\"left\">\n",
    "    <td><a target=\"_blank\"  href=\"https://github.com/giswqs/geemap/tree/master/examples/notebooks/usda_naip_imagery.ipynb\"><img width=32px src=\"https://www.tensorflow.org/images/GitHub-Mark-32px.png\" /> View source on GitHub</a></td>\n",
    "    <td><a target=\"_blank\"  href=\"https://nbviewer.jupyter.org/github/giswqs/geemap/blob/master/examples/notebooks/usda_naip_imagery.ipynb\"><img width=26px src=\"https://upload.wikimedia.org/wikipedia/commons/thumb/3/38/Jupyter_logo.svg/883px-Jupyter_logo.svg.png\" />Notebook Viewer</a></td>\n",
    "    <td><a target=\"_blank\"  href=\"https://mybinder.org/v2/gh/giswqs/geemap/master?filepath=examples/notebooks/usda_naip_imagery.ipynb\"><img width=58px src=\"https://mybinder.org/static/images/logo_social.png\" />Run in binder</a></td>\n",
    "    <td><a target=\"_blank\"  href=\"https://colab.research.google.com/github/giswqs/geemap/blob/master/examples/notebooks/usda_naip_imagery.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" /> Run in Google Colab</a></td>\n",
    "</table>"
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   "source": [
    "## Install Earth Engine API and geemap\n",
    "Install the [Earth Engine Python API](https://developers.google.com/earth-engine/python_install) and [geemap](https://github.com/giswqs/geemap). The **geemap** Python package is built upon the [ipyleaflet](https://github.com/jupyter-widgets/ipyleaflet) and [folium](https://github.com/python-visualization/folium) packages and implements several methods for interacting with Earth Engine data layers, such as `Map.addLayer()`, `Map.setCenter()`, and `Map.centerObject()`.\n",
    "The following script checks if the geemap package has been installed. If not, it will install geemap, which automatically installs its [dependencies](https://github.com/giswqs/geemap#dependencies), including earthengine-api, folium, and ipyleaflet.\n",
    "\n",
    "**Important note**: A key difference between folium and ipyleaflet is that ipyleaflet is built upon ipywidgets and allows bidirectional communication between the front-end and the backend enabling the use of the map to capture user input, while folium is meant for displaying static data only ([source](https://blog.jupyter.org/interactive-gis-in-jupyter-with-ipyleaflet-52f9657fa7a)). Note that [Google Colab](https://colab.research.google.com/) currently does not support ipyleaflet ([source](https://github.com/googlecolab/colabtools/issues/60#issuecomment-596225619)). Therefore, if you are using geemap with Google Colab, you should use [`import geemap.eefolium`](https://github.com/giswqs/geemap/blob/master/geemap/eefolium.py). If you are using geemap with [binder](https://mybinder.org/) or a local Jupyter notebook server, you can use [`import geemap`](https://github.com/giswqs/geemap/blob/master/geemap/geemap.py), which provides more functionalities for capturing user input (e.g., mouse-clicking and moving)."
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   "source": [
    "# Installs geemap package\n",
    "import subprocess\n",
    "\n",
    "try:\n",
    "    import geemap\n",
    "except ImportError:\n",
    "    print('geemap package not installed. Installing ...')\n",
    "    subprocess.check_call([\"python\", '-m', 'pip', 'install', 'geemap'])\n",
    "\n",
    "# Checks whether this notebook is running on Google Colab\n",
    "try:\n",
    "    import google.colab\n",
    "    import geemap.eefolium as emap\n",
    "except:\n",
    "    import geemap as emap\n",
    "\n",
    "# Authenticates and initializes Earth Engine\n",
    "import ee\n",
    "\n",
    "try:\n",
    "    ee.Initialize()\n",
    "except Exception as e:\n",
    "    ee.Authenticate()\n",
    "    ee.Initialize()  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import geemap\n",
    "from ipyleaflet import *\n",
    "from ipywidgets import *\n",
    "from geemap.eelib import *\n",
    "\n",
    "Map = geemap.Map(center=(-100, 40), zoom=4)\n",
    "Map.default_style = {'cursor': 'pointer'}\n",
    "Map\n",
    "\n",
    "Map.setOptions('ROADMAP')\n",
    "# Load National Hydrography Dataset (NHD) \n",
    "HUC10 = ee.FeatureCollection('USGS/WBD/2017/HUC10');  # 18,487 HUC10 watersheds in the U.S.\n",
    "\n",
    "# Add HUC layer to the map\n",
    "Map.setCenter(-99.00, 47.01, 8);\n",
    "Map.addLayer(ee.Image().paint(HUC10, 0, 1), {}, 'HUC-10 Watershed')   # HUC10 for the entire U.S.\n",
    "\n",
    "label = Label(\"Click on the map to select a watershed\")\n",
    "widget_control = WidgetControl(widget=label, position='bottomright')\n",
    "Map.add_control(widget_control)\n",
    "\n",
    "layer = None\n",
    "\n",
    "def handle_interaction(**kwargs):\n",
    "    latlon = kwargs.get('coordinates')\n",
    "    if kwargs.get('type') == 'click':\n",
    "        Map.default_style = {'cursor': 'wait'}\n",
    "        xy = ee.Geometry.Point(latlon[::-1])\n",
    "        watershed = HUC10.filterBounds(xy)\n",
    "        huc10_id = watershed.first().get('huc10').getInfo()\n",
    "        Map.layers = Map.layers[:3]\n",
    "        Map.addLayer(ee.Image().paint(watershed, 0, 2), {'palette': 'red'}, 'HUC ID: ' + huc10_id) \n",
    "        \n",
    "        NAIP_images = findNAIP(watershed)\n",
    "        first_image = ee.Image(NAIP_images.toList(5).get(0))\n",
    "        Map.addLayer(first_image, {'bands': ['N', 'R', 'G']}, 'first image')\n",
    "#         count = NAIP_images.size().getInfo()\n",
    "#         for i in range(0, count):\n",
    "#             image = ee.Image(NAIP_images.toList(count).get(i))\n",
    "#             Map.addLayer(image, {'bands': ['N', 'R', 'G']}, str(i))\n",
    "        \n",
    "        Map.default_style = {'cursor': 'pointer'}\n",
    "\n",
    "Map.on_interaction(handle_interaction)\n",
    "\n",
    "Map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "Map.layers"
   ]
  }
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